nep-sea New Economics Papers
on South East Asia
Issue of 2007‒12‒19
four papers chosen by
Kavita Iyengar
Asian Development Bank
  1. The Impact of Emerging Asia on Commodity Prices By Calista Cheung; Sylvie Morin
  2. Benchmarking North Korean Economic Policies; The Lessons from Russia and China By Judith Thornton
  3. Knowledge Management System Architecture for the Industry Cluster By Pradorn Sureephong; Nopasit Chakpitak; Yacine Ouzrout; Gilles Neubert; Abdelaziz Bouras
  4. Knowledge Engineering Technique for Cluster Development By Pradorn Sureephong; Nopasit Chakpitak; Yacine Ouzrout; Gilles Neubert; Abdelaziz Bouras
  1. By: Calista Cheung; Sylvie Morin
    Abstract: Over the past 5 years, real energy and non-energy commodity prices have trended sharply higher. These relative price movements have had important implications for inflation and economic activity in both Canada and the rest of the world. China has accounted for the bulk of incremental demand for oil and many base metals over this period. As rapid economic growth in China has raised the level of world demand, this has put upward pressure on commodity prices. The effect has been amplified by rising resource intensities in China's production in recent years. This paper discusses the factors driving emerging Asia's demand for commodities and assesses the impact of emerging Asia on the real prices of oil and base metals in the Bank of Canada Commodity Price Index (BCPI). Two separate single-equation models are estimated for oil and the base metals price index. We employ a structural break approach for oil prices, while metals prices are modelled with an error correction model (ECM). In both cases, we find strong evidence that oil and metals prices have historically moved with the business cycle in the developed world, but that this relationship has broken down since mid-1997. Thereafter, industrial activity in emerging Asia appears to have become a more dominant driver of oil price movements. While metal price fluctuations have also become increasingly aligned with levels of industrial activity in emerging Asia, rising intensities of metal production may have been a more important factor behind the acceleration in prices in recent years.
    Keywords: Business fluctuations and cycles; International topics
    JEL: E3 F4 O19 Q11
    Date: 2007
    URL: http://d.repec.org/n?u=RePEc:bca:bocawp:07-55&r=sea
  2. By: Judith Thornton (Department of Economics University of Washington)
    Date: 2007–02
    URL: http://d.repec.org/n?u=RePEc:udb:wpaper:uwec-2007-35&r=sea
  3. By: Pradorn Sureephong (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon, CAMT - College of Arts, Media and Technology - Chiang Mai University); Nopasit Chakpitak (CAMT - College of Arts, Media and Technology - Chiang Mai University); Yacine Ouzrout (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon); Gilles Neubert (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon); Abdelaziz Bouras (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon)
    Abstract: Since the concept of the industry cluster was popularized by Porter in 1990, many countries try to improve the competitiveness through industry sector. Not only companies who take part in the cluster but also academic institutes, government agencies, associations, and supportive industries. The more actors involved in the cluster the more knowledge were distributed among the member of cluster. Although, many literatures about cluster explained how knowledge is important for the cluster development. But, there is no specific knowledge management methodology or system for the cluster. This study is concerned about knowledge exchange in the cluster by using knowledge engineering methodology to analyze, model and design Knowledge Management System (KMS). At the end of this study, we will implement KMS in handicraft cluster in Thailand as our case study. As we are in the beginning of the study, this paper proposed methodology and primary result from knowledge engineering. Then the KMS architecture was proposed as the result of the study in this paper.
    Date: 2007–12–03
    URL: http://d.repec.org/n?u=RePEc:hal:papers:hal-00196486_v1&r=sea
  4. By: Pradorn Sureephong (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon, CAMT - College of Arts, Media and Technology - Chiang Mai University); Nopasit Chakpitak (CAMT - College of Arts, Media and Technology - Chiang Mai University); Yacine Ouzrout (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon); Gilles Neubert (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon); Abdelaziz Bouras (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - Université Claude Bernard - Lyon I - Université Lumière - Lyon II - Institut National des Sciences Appliquées de Lyon)
    Abstract: After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key success factors of the cluster are knowledge sharing and collaboration between partners. This knowledge is collected in form of tacit and explicit knowledge from experts and institutions within the cluster. The objective of this study is about enhancing the industry cluster with knowledge management by using knowledge engineering which is one of the most important method for managing knowledge. This work analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and CommonKADS, and compares the capability to be implemented in the cluster context. Then, we selected one method and proposed the adapted methodology. At the end of this paper, we validated and demonstrated the proposed methodology with some primary result by using case study of handicraft cluster in Thailand.
    Keywords: Knowledge Engineering; Industry Cluster; CommonKADS; Knowledge Management System
    Date: 2007–11–26
    URL: http://d.repec.org/n?u=RePEc:hal:papers:hal-00196472_v1&r=sea
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